Blockchain-Enabled AI for Predictive Maintenance in Industrial IoT
Abstract
Predictive maintenance in industrial IoT (IIoT) systems relies on AI and machine learning models to predict equipment failures and optimize maintenance schedules. However, the reliability of these predictions is often compromised by the quality and integrity of the underlying data. This paper presents a blockchain-enabled AI framework for predictive maintenance in IIoT, where sensor data and maintenance records are securely recorded on a blockchain. By ensuring data immutability and provenance, we improve the accuracy and reliability of AI predictions. The framework also integrates AI-driven analytics to identify patterns and anomalies in equipment behavior, enabling proactive maintenance decisions. Through case studies in manufacturing and energy sectors, we demonstrate that the blockchain-enabled AI framework significantly reduces downtime and maintenance costs while enhancing the overall reliability of IIoT systems.
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References
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